vectorize-text
Convert a string of text into a vectorized geometric representation. Works in both node.js and browserify.
Example
This module is capable of outputting geometry in several formats.
Planar graphs
The default (and fastest) output from the module is a planar graph:
var vectorizeText = require("vectorize-text")
var graph = vectorizeText("Hello world! 你好", {
width: 500,
textBaseline: "hanging"
})
var svg = ['<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="500" height="80" >']
graph.edges.forEach(function(e) {
var p0 = graph.positions[e[0]]
var p1 = graph.positions[e[1]]
svg.push('<line x1="' + p0[0] + '" y1="' + p0[1] +
'" x2="' + p1[0] + '" y2="' + p1[1] +
'" stroke-width="1" stroke="black" />')
})
svg.push("</svg>")
console.log(svg.join(""))
Output:
Polygons
You can also configure the module to emit polygons instead:
var vectorizeText = require("vectorize-text")
var polygons = vectorizeText("Hello world! 你好", {
polygons: true,
width: 500,
textBaseline: "hanging"
})
var svg = []
svg.push('<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="500" height="80" >')
polygons.forEach(function(loops) {
svg.push('<path d="')
loops.forEach(function(loop) {
var start = loop[0]
svg.push('M ' + start[0] + ' ' + start[1])
for(var i=1; i<loop.length; ++i) {
var p = loop[i]
svg.push('L ' + p[0] + ' ' + p[1])
}
svg.push('L ' + start[0] + ' ' + start[1])
})
svg.push('" fill-rule="even-odd" stroke-width="1" fill="red"></path>')
})
svg.push('</svg>')
console.log(svg)
Output:
Triangulations
Finally, the module can output a triangulation (which is compatible with WebGL for example):
var vectorizeText = require("vectorize-text")
var complex = vectorizeText("Hello world! 你好", {
triangles: true,
width: 500,
textBaseline: "hanging"
})
var svg = ['<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="500" height="80" >']
complex.cells.forEach(function(c) {
for(var j=0; j<3; ++j) {
var p0 = complex.positions[c[j]]
var p1 = complex.positions[c[(j+1)%3]]
svg.push('<line x1="' + p0[0] + '" y1="' + p0[1] +
'" x2="' + p1[0] + '" y2="' + p1[1] +
'" stroke-width="1" stroke="black" />')
}
})
svg.push("</svg>")
console.log(svg)
Output:
Install
npm install vectorize-text
API
require("vectorize-text")(string[,options])
Renders a string to a 2D cell complex
Returns The returned value depends on the type of geometry
-
Planar graph: This is the fastest output format. A JSON object encoding the embedding of an oriented planar graph, with the following properties:
edges
are the edges of the graphpositions
are the positions
-
Polygon list: A list of complex polygons encoded as arrays of positions. This format is most suitable for SVG and GeoJSON output
-
Triangulation: This format may be most suitable for WebGL/rendering applications. A 2D oriented simplicial complex encoded as a list of cells and positions, represented by a JSON object with two properties
cells
are the faces of the triangulation, encoded as triples of indices into the vertex arraypositions
are the positions of the vertices in the triangulation
Note In node.js, this library requires Cairo. For more information on how to set this up, look at the documentation for the canvas module.
Credits
(c) 2014 Mikola Lysenko. MIT License